dataset now support integration with S3 storage. Store dataset content on AWS S3 you should download and install the aws cli sdk, setup your buckets and configure permissions, access keys, etc. dataset will use your local SDK’s configuration (e.g. $HOME/.aws) to configure the connection. You need only set one environment variable, run the dataset init option and add the resulting suggested environment variable for working with your dataset stored at S3.
In the following shell example our bucket is called “dataset.library.exampl.edu” and our dataset collection is called “mycollection”.
export AWS_SDK_LOAD_CONFIG=1
dataset init s3://dataset.library.example.edu/mycollection
export DATASET=s3://dataset.library.example.edu/mycollection
We can now create a JSON record to add called “waldo” and add it to our collection.
cat<<EOT>waldo-reading.json
{
"reader":"Waldo",
"author":"Robert Louis Stevenson",
"title":"The Black Arrow",
"url":"https://www.gutenberg.org/ebooks/848"
}
EOT
cat waldo-reading.json | dataset create waldo-reading
List the keys in our dataset
dataset list keys
Now let’s download a copy of what Waldo is reading and attach it to our “waldo-reading” record.
curl -O https://www.gutenberg.org/ebooks/848.txt.utf-8
dataset attach waldo-reading 848.txt.utf-8
To check out attachments
dataset attachments waldo-reading